Pittsburgh Health Data Alliance, Carnegie Mellon University, University of Pittsburgh, UPMC, Center for Machine Learning and Health Carnegie Mellon University

Center for Machine Learning and Health at Carnegie Mellon University

The Center for Machine Learning and Health (CMLH) at Carnegie Mellon University is one of two centers launched under the umbrella of the Pittsburgh Health Data Alliance, formed in 2015 to unite Carnegie Mellon's unrivaled applied-computing capabilities, the University of Pittsburgh's world-class health-sciences research, and UPMC's clinical care and commercialization expertise. The CMLH supports great science and engineering that can lead to innovative health solutions and new businesses.

Driving Healthcare Innovation - Unprecedented resources through the Center for Machine Learning and Health have the potential to turn Carnegie Mellon's novel, interdisciplinary research and innovation into data-driven health solutions that matter.


2018 CMLH Call for Proposals

The CMLH is pleased to announce the fall 2018 proposal solicitation for research projects. The CMLH is looking for compelling science that creates value for stakeholders, including patients and caregivers, providers, payers, and health care institutions. This is an internal call for CMU faculty only. Full details are available in the following documents:


Fellowships in Digital Health

We invite applications for the CMLH Fellowships in Digital Health. Each fellowship provides full support for one year for a Carnegie Mellon graduate student who is pursuing cutting-edge research that advances digital health, broadly defined. For more information, visit our 2019 fellowship application page.

Nine graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health, beginning in fall 2018.  Check out our 2018 Fellows page to read more about the new recipients. (Learn about last year's fellows on our 2017 Fellows page.)


Project Funding

From bench to bedside, the CMLH funds projects that strive to bridge the gap between research and practice. All funded work at CMLH will have a clear line of sight to commercial application. Although many CMLH projects will involve data analytics and machine learning, our approach is technology agnostic. We welcome proposals that involve human-computer interaction, language technologies, information systems, computer graphics, computer vision, artificial intelligence, robotics, electrical engineering, economics, psychology, sociology, public policy, business administration, law, design, and any other disciplines that apply to healthcare.

Funding is available at two levels — awards for early-stage research projects and multiyear awards for follow-on projects that have demonstrated clear commercial potential.

In addition to offering funding, CMLH provides support for funded projects in the form of datasets, access to patients and doctors for empirical validation of new concepts, and entrepreneurial mentorship.


News and Information

Visit our News and Information page for relevant articles and upcoming events

Contact the CMLH at cmlh@cs.cmu.edu or 412-268-6288.